A meta-analysis of species-abundance distributions
A meta-analysis of species-abundance distributions
复制标题
DOI：
10.1111/j.1600-0706.2009.18236.x
复制
发表时间：
2010-07-01
期刊：
影响因子：
3.4
通讯作者：
Ugland, Karl Inne
中科院分区：
文献类型：
--
作者：
Ulrich, Werner;Ollik, Marcin;Ugland, Karl Inne
物种-多度分布（SAD）描述了一个群落中所有物种的多度。已经提出了许多不同的模型来描述观测到的SAD。最著名的是对数级数，对数正态分布，以及各种生态位划分模型。它们通常使用物种丰富度-对数丰度等级（普雷斯顿）图或丰度-物种等级（惠特克）图来可视化。由于许多模型预测非常相似的形状，模型的区分和测试变得有问题。然而，各种各样的模型可以分为三种基本类型：一种是预测惠特克图中的双S形和普雷斯顿图中的单峰分布（对数正态型），第二种是在普雷斯顿图中缺乏众数（对数级数型），第三种是预测两种绘图类型中的幂函数（幂律型）。尽管生态学家在SAD的兴趣没有正式的元分析模型和绘图类型已进行到目前为止。在这里，我们使用的汇编558种丰度分布从306篇已发表的论文推断的频率依赖于环境变量和绘图类型的三个SAD形状。我们的研究结果突出了区分充分普查和不完全抽样社区的研究SAD的重要性。我们发现，完全普查的陆地或淡水动物群落往往遵循对数正态型SAD更经常比对数或幂律类型的物种丰富度，空间尺度和地理位置无关。然而，海洋群落往往遵循对数系列类型，而植物群落往往遵循幂律。在不完全集合中，幂律在Whittaker图中拟合得最好，对数级数在普雷斯顿图中拟合得最好。最后，我们的研究倾向于使用惠特克超过普雷斯顿情节。
The species-abundance distribution (SAD) describes the abundances of all species within a community. Many different models have been proposed to describe observed SADs. Best known are the logseries, the lognormal, and a variety of niche division models. They are most often visualized using either species richness - log abundance class (Preston) plots or abundance - species rank order (Whittaker) plots. Because many of the models predict very similar shapes, model distinction and testing become problematic. However, the variety of models can be classified into three basic types: one that predicts a double S-shape in Whittaker plots and a unimodal distribution in Preston plots (the lognormal type), a second that lacks the mode in Preston plots (the logseries type), and a third that predicts power functions in both plotting types (the power law type). Despite the interest of ecologists in SADs no formal meta-analysis of models and plotting types has been undertaken so far. Here we use a compilation of 558 species-abundance distributions from 306 published papers to infer the frequency of the three SAD shapes in dependence of environmental variables and type of plotting. Our results highlight the importance of distinguishing between fully censused and incompletely sampled communities in the study of SADs. We show that completely censused terrestrial or freshwater animal communities tend to follow lognormal type SADs more often than logseries or power law types irrespective of species richness, spatial scale, and geographic position. However, marine communities tend to follow the logseries type, while plant communities tend to follow the power law. In incomplete sets the power law fitted best in Whittaker plots, and the logseries in Preston plots. Finally our study favors the use of Whittaker over Preston plots.